Richard R. Sharp

25.4k citations
218 papers · 5.3k · 1 hit paper · h-index 39

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Genetics top 1%
    • BRCA gene mutations in cancer
    • Genomics and Rare Diseases
    • Race, Genetics, and Society

Papers in

Richard R. Sharp

202 papers receiving 4.9k citations

Richard R. Sharp's Hit Papers

Patient apprehensions about the use of artificial intelligence in healthcare 2021 · 242 citations
2420+1+3Years since publication50100150200

Peers

Richard R. Sharp
Comparison fields: 5 of 185
  • Health Informatics 254
  • Genetics 1.5k
  • Public Health, Environmental and Occupational Health 1.3k
  • General Health Professions 580
  • Hardware and Architecture 177
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Citations per field
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Citations per year

Countries citing papers authored by Richard R. Sharp

Since Specialization
Citations

This map shows the geographic impact of Richard R. Sharp's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Richard R. Sharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard R. Sharp more than expected).

Fields of papers citing papers by Richard R. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard R. Sharp. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Richard R. Sharp. The network helps show where Richard R. Sharp may publish in the future.

Co-authors

The 25 scholars most cited alongside Richard R. Sharp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Richard R. Sharp Line = papers co-authored together Richard R. Sharp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 218 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994301
2
Patient apprehensions about the use of artificial intelligence in healthcare
Hit paper breakdown →
2021242
3 2002188
4 2002154
5 2009137
6 2013131
7 2018112
8 2005107
9 201287
10 199986
11 200885
12 200084
13 201580
14 200269
15 200469
16 200563
17 200560
18 201257
19 201256
20 201156

About Richard R. Sharp

Richard R. Sharp is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Physiology, General Health Professions and Molecular Biology, having authored 218 papers that have together received 5.3k indexed citations. Recurring topics across this work include Ethics in Clinical Research (59 papers), BRCA gene mutations in cancer (37 papers), Biomedical Ethics and Regulation (36 papers), Genomics and Rare Diseases (24 papers), Ethics in medical practice (21 papers), Artificial Intelligence in Healthcare and Education (11 papers), Embedded Systems Design Techniques (10 papers) and Parallel Computing and Optimization Techniques (10 papers). The work is most often cited by research in Health Informatics (254 citations), Genetics (1.5k citations), Public Health, Environmental and Occupational Health (1.3k citations), General Health Professions (580 citations) and Hardware and Architecture (177 citations). Richard R. Sharp has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Morris W. Foster, David Scott, Alan Mycroft, Ravid Rosenzweig, Julian Adams, David S. Treves, Anil Madhavapeddy, Aaron J. Goldenberg, John J. Mulvihill and Mark Yarborough. Their work appears in journals such as Genetics in Medicine, Mayo Clinic Proceedings, Environmental Health Perspectives, Clinical and Translational Science and Public Health Genomics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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